Analyst, Quantitative - Model Validation

• Full-time
• Business Segment:
  Group Functions

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa.

Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Perform initial and ongoing validations of interest rate risk, earnings at risk, economic capital, stress testing and operational risk models. Think critically and manage Model Risk for the aforementioned models.

• Perform initial and ongoing validations of interest rate risk, earnings at risk, economic capital, stress testing and operational risk models. Think critically and manage Model Risk for the aforementioned models.
• Interact with Model Development to obtain additional clarity on the models that are being validated.
• Perform model validation tasks according to the team’s operating standards.
• Identify, make recommendations, and assist to improve the validation methods and processes.

• 4-year degree in a quantitative field of study for example:
  Business Analytics;
  Quantitative Risk Management;
  Statistics;
  Financial Mathematics;
  Engineering; or Physics.

Experience required:

• >>3 years’ Demonstrable ability to develop statistical models from data and/or analytical models to estimate capital (unexpected losses), expected losses.
• > 3 years’ Experience with using tools such as Python, SAS, Power BI or R to develop and execute models.
• Seasoned professional with sound knowledge on regulations affecting banking especially internal model approaches for risk capital.
• > 3 years’ experience in model risk management practices in banking spanning data preparation, development, documentation, validation, approval, usage and monitoring.